Far-field wireless charging receiving target detection method based on convolutional neural network
A convolutional neural network and wireless charging technology is applied in the field of computer vision to achieve high detection accuracy and improve efficiency
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[0028] The receiving end of the far-field wireless charging system RBC can be a computer, a desk lamp or various IoT devices. It is a huge project to consider all kinds of receiving ends when training the neural network. The mobile phone is the most common and important charging object, so when implementing the scheme, the mobile phone is used as the representative of the RBC receiver, such as figure 2 Shown is the implementation process of the method of the present invention: 1) at first set up the mobile phone data set; 2) put the data set into the designed deep convolutional neural network for training, and obtain the deep convolutional network specially detecting the mobile phone target; 3) combine The trained network is embedded into the RBC control system; 4) Put the pictures captured by the camera into the network for analysis, and obtain the possible locations of several mobile phone targets; 5) Laser scan the pre-positioned positions to confirm the positioning results...
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